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Community-driven AI: Empowering people through responsible data-driven decision-making

Published: 14 October 2023 Publication History

Abstract

The increasing integration of AI and data-driven technologies in various sectors of society presents both opportunities and challenges, particularly regarding ethical, fair, and inclusive applications. This one-day workshop aims to convene researchers, practitioners, policymakers, and other community members to explore the complexities of community-driven AI with the aim to promote responsible and sustainable practices in the AI ecosystem. Drawing on interdisciplinary perspectives, participants will engage in discussions focused on themes such as understanding stakeholder relationships and positions in AI systems, evaluating community impact in AI ecosystems, examining policy and intervention implications, and devising strategies for effective partnership and collaboration with communities. The workshop will provide a platform for sharing experiences, exchanging ideas, and fostering long-lasting collaborations. By collectively addressing the challenges and opportunities in community-driven AI, we aspire to build an active community that supports ethical, inclusive, and sustainable AI-driven solutions, empowering communities in an increasingly data-driven world.

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    cover image ACM Conferences
    CSCW '23 Companion: Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing
    October 2023
    596 pages
    ISBN:9798400701290
    DOI:10.1145/3584931
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 14 October 2023

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    Author Tags

    1. AI Ecosystem
    2. Community-driven AI
    3. Responsible AI

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    View all
    • (2025)Charting Careers in Data Science and Artificial Intelligence: Community Perspectives on Degree EssentialityMulti-disciplinary Trends in Artificial Intelligence10.1007/978-981-96-0692-4_11(127-138)Online publication date: 20-Feb-2025
    • (2024)"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good PartnershipsProceedings of the ACM on Human-Computer Interaction10.1145/36870098:CSCW2(1-28)Online publication date: 8-Nov-2024
    • (2024)Practicing Inclusivity in AI: Stakeholder Engagement Policy in ActionCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681836(748-751)Online publication date: 11-Nov-2024
    • (2024)The AI-DEC: A Card-based Design Method for User-centered AI ExplanationsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661576(1010-1028)Online publication date: 1-Jul-2024
    • (2024)Are We Asking the Right Questions?: Designing for Community Stakeholders’ Interactions with AI in PolicingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642738(1-20)Online publication date: 11-May-2024

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